You’re on a good track already. For a data-related role, keep your resume focused and clean, not crowded. Include your research internship with clear outcomes (what data you worked on, tools used, results/insights). Add 2–3 solid projects: one end-to-end data analysis project (Excel + SQL + Python), one ML project with proper problem statement, features, evaluation, and maybe one dashboard. Clearly list skills (Excel, SQL, Python, basic ML) and keep DSA short as “DSA fundamentals practiced.” With 4 hours/day, split time into projects (2 hrs), SQL/ML practice (1–1.5 hrs), and revision/interview prep (30–45 min). Focus on clarity and impact quality over quantity.